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Joint use of simulation and nonlinear curve fitting in compartmental models (abstract)

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Meyer KatzperAuthors Info & Claims

CSC '90: Proceedings of the 1990 ACM annual conference on Cooperation

Page 437

https://doi.org/10.1145/100348.100467

Published: 01 January 1990 Publication History

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Abstract

Simulation and nonlinear fitting programs allow a greater role for human experience and judgement when used jointly in obtaining the best ranges and fit for the parameters of compartmental models. Currently available software provides graphical interfaces which make a viewing and intervention strategy attractive and efficient. This is especially the case in nonlinear models where required initial estimates can lead to false solution due to local minima. Simulations can be used which provide graphical displays for comparison with experimental data to obtain parameter ranges and initial estimates.

This approach was applied to compartmental models which are used in pharmacokinetics. The models provide a useful simplified phenomenological representation of drug disposition and concentration. The resulting nonlinear equations are parameterized by clearance, volume and rate constants. The parametric values are used in making dosing and therapy decisions. The problem of determining the pharmacokinetic parameters from observations is called the identification problem.

Nonlinear fitting approaches, with iterative search algorithms, are sensitive to the initial estimates assumed for the parameters. Difference equation simulations can easily represent a wide variety of compartmental models. Their results can be used to provide initial estimates for the nonlinear curve fitting programs. Possibly more importantly, comparing the model output with the experimental data will aid in deciding whether an appropriate compartmental model was specified.

Current work has focused on using NONMEM (Nonlinear Mixed Effects Modeling) for population pharmacokinetics and Stella for simulation.

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Joint use of simulation and nonlinear curve fitting in compartmental models (abstract)

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Published In

CSC '90: Proceedings of the 1990 ACM annual conference on Cooperation

January 1990

475 pages

ISBN:0897913485

DOI:10.1145/100348

Chairman:
Arun Sood
George Mason Univ., Fairfax, VA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1990

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CSC90

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CSC90: 18th Annual ACM Computer Science Conference

February 20 - 22, 1990

D.C., Washington, USA

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